Job Description
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Written by AI from the job title and company, not by Xpertise Recruitment, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Analytics Engineer at Xpertise Recruitment will play a critical role in managing and optimizing our data analytics processes on the Google Cloud Platform (GCP). This position involves designing, constructing, and maintaining robust analytics solutions that enable data-driven decision-making across the organization. The successful candidate will collaborate closely with data scientists, analysts, and business stakeholders to identify analytical needs, ensure data quality, and develop scalable data models that provide actionable insights.
Job Responsibilities
- Design and implement data architectures and pipelines using GCP services such as BigQuery, Dataflow, and Cloud Pub/Sub.
- Collaborate with cross-functional teams to gather requirements and translate them into analytical solutions.
- Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into GCP.
- Ensure data integrity and reliability by implementing data validation and monitoring processes.
- Create and optimize complex SQL queries for data analysis and reporting.
- Provide technical support and insights to data analysts for creating dashboards and visualizations.
- Document data models, processes, and data lineage for transparency and governance purposes.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
- Minimum of 3 years experience in data analytics, data engineering, or a similar role.
- Strong proficiency in SQL and experience working with Google Cloud Platform services.
- Proven experience in designing and implementing data pipelines and ETL processes.
- Familiarity with data visualization tools such as Tableau, Looker, or Data Studio.
- Excellent analytical and problem-solving skills with a strong attention to detail.
Technologies & Tools
The Analytics Engineer role utilizes a range of technologies and tools that include technical proficiency in Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Cloud Functions. Additional familiarity with tools for data integration and visualization like Apache Airflow, Looker, Tableau, or Data Studio will be beneficial. Knowledge of programming languages such as Python or R for data manipulation and analysis is also highly desirable.
Ideal Candidates
The ideal candidates for this position will possess strong technical skills coupled with exceptional analytical abilities. They should demonstrate a systematic approach to problem-solving and be comfortable working in a collaborative environment. Candidates should show a passion for data and a keen understanding of how analytics can drive business decisions. Strong communication skills are essential to convey complex data findings to non-technical stakeholders effectively.
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